public void TestServer()
{
Tensorflow.ServerDef def = new ServerDef();
ClusterDef clusterDef = new ClusterDef();
JobDef jd = new JobDef();
clusterDef.Job.Add(jd);
def.Cluster = clusterDef;
byte[] pbuff;
using (MemoryStream ms = new MemoryStream())
{
def.WriteTo(ms);
pbuff = ms.ToArray();
}
/*
* using (Emgu.TF.Server s = new Emgu.TF.Server(pbuff))
* {
* String target = s.Target;
* }*/
}
public SimCluster(ClusterDef cluster, SimRuntime runtime)
{
Runtime = runtime;
Rand = Runtime.Rand;
// we register each link as a network service
foreach (var(id, def) in cluster.Routes)
{
var service = new ServiceId($"network:{id.Source}->{id.Destinaton}");
var scheduler = new SimScheduler(Runtime, service);
Routes.Add(id, new SimRoute(scheduler, this, id, def));
}
foreach (var machine in cluster.Services.GroupBy(i => i.Key.Machine))
{
var m = new SimMachine(machine.Key, runtime, this);
foreach (var pair in machine)
{
m.Install(pair.Key, pair.Value);
}
Machines.Add(machine.Key, m);
}
}
internal bool CheckResult(VariableDef[] variableDefs, ClusterDef[] clusterDefs,
ConstraintDef[] constraintDefsX, ConstraintDef[] constraintDefsY,
double[] expectedPositionsX, double[] expectedPositionsY,
bool checkResults)
{
for (uint id = 0; id < variableDefs.Length; ++id)
{
variableDefs[id].SetExpected(id, expectedPositionsX[id], expectedPositionsY[id]);
}
return CheckResult(variableDefs, clusterDefs, constraintDefsX, constraintDefsY, checkResults);
}
private void VerifyClustersDoNotOverlapWithNonChildNodesInTheirOwnHierarchy(double epsilon, KeyValuePair<List<ClusterDef>, List<VariableDef>> kvpCurHier, ClusterDef[] localClusDefs, ref bool succeeded)
{
int idxStartVar = 0;
foreach (ClusterDef clusCur in localClusDefs)
{
if (clusCur.IsEmpty)
{
continue;
}
VariableDef[] localVarDefs = kvpCurHier.Value.OrderBy(varDef => varDef.Top).ToArray();
for (int jj = idxStartVar; jj < localVarDefs.Length; ++jj)
{
VariableDef varCheck = localVarDefs[jj];
// Minimize variable-list traversal.
if (varCheck.Top < (clusCur.Top - epsilon))
{
idxStartVar = jj;
}
// If the variable ends before the cluster starts, there's no overlap.
if ((clusCur.Top - varCheck.Bottom - this.MinPaddingY) > -epsilon)
{
continue;
}
// Rounding error may leave these calculations slightly greater or less than zero.
// Since margin is calculated only for inner edges and here we are testing for
// sibling rather than nested nodes, we don't use margin here.
// Name is <relativeToVarCur><RelativeToVarCheck>
double bottomTopOverlap = varCheck.Top - clusCur.Bottom - this.MinPaddingY;
if (bottomTopOverlap >= -epsilon)
{
// Out of range of clusCur's size, so we're done with clusCur.
break;
}
// Does varCheck's left or right border overlap? Negative overlap means yes.
// Again, margins are only cluster-internal and we're testing external boundaries
// here; so the cluster size should have been calculated large enough and we only
// look at padding.
double xa = varCheck.Left - clusCur.Right - this.MinPaddingX;
double xb = clusCur.Left - varCheck.Right - this.MinPaddingX;
if ((xa < -epsilon) && (xb < -epsilon))
{
// Let's see if it's an ancestor.
bool hasSideOverlap = true;
foreach (ClusterDef clusDefParent in varCheck.ParentClusters)
{
for (ClusterDef clusDefAncestor = clusDefParent; null != clusDefAncestor; clusDefAncestor = clusDefAncestor.ParentClusterDef)
{
if (clusDefAncestor == clusCur)
{
hasSideOverlap = false;
break;
}
}
if (!hasSideOverlap)
{
break;
}
}
if (hasSideOverlap)
{
// Uh oh.
this.WriteLine("Error {0}: Overlap exists between Cluster '{1}' and non-child Node '{2}'", FailTag("OlapClusNode"),
clusCur.ClusterId, varCheck.IdString);
this.WriteLine(" Cluster {0}: L/R T/B {1:F5}/{2:F5} {3:F5}/{4:F5}", clusCur.ClusterId,
clusCur.Left, clusCur.Right, clusCur.Top, clusCur.Bottom);
this.WriteLine(" Node {0}: L/R T/B {1:F5}/{2:F5} {3:F5}/{4:F5}", varCheck.IdString,
varCheck.Left, varCheck.Right, varCheck.Top, varCheck.Bottom);
succeeded = false;
}
} // endif overlap within epsilon
} // endfor each non-child variable
}
}
private void VerifyClustersDoNotOverlapWithNonParentClustersInTheirOwnHierarchy(double epsilon, out ClusterDef[] localClusDefs, KeyValuePair<List<ClusterDef>, List<VariableDef>> kvpCurHier, ref bool succeeded)
{
localClusDefs = kvpCurHier.Key.OrderBy(clusDef => clusDef.Top).ToArray();
for (int ii = 0; ii < localClusDefs.Length; ++ii)
{
ClusterDef clusCur = localClusDefs[ii];
if (clusCur.IsEmpty || clusCur.IsNewHierarchy)
{
continue;
}
for (int jj = ii + 1; jj < localClusDefs.Length; ++jj)
{
ClusterDef clusCheck = localClusDefs[jj];
if (clusCheck.IsEmpty || clusCheck.IsNewHierarchy)
{
continue;
}
// Rounding error may leave these calculations slightly greater or less than zero.
// Since margin is calculated only for inner edges and here we are testing for
// sibling rather than nested nodes, we don't use margin here.
// Name is <relativeToVarCur><RelativeToVarCheck>
double bottomTopOverlap = clusCheck.Top - clusCur.Bottom - this.MinPaddingY;
if (bottomTopOverlap >= -epsilon)
{
// Out of range of clusCur's size, so we're done with clusCur.
break;
}
// Does clusCheck's left or right border overlap? Negative overlap means yes.
// Again, margins are only cluster-internal and we're testing external boundaries
// here; so the cluster size should have been calculated large enough and we only
// look at padding.
double xa = clusCheck.Left - clusCur.Right - this.MinPaddingX;
double xb = clusCur.Left - clusCheck.Right - this.MinPaddingX;
if ((xa < -epsilon) && (xb < -epsilon))
{
// Let's see if it's a parent.
bool hasSideOverlap = true;
for (ClusterDef clusDefParent = clusCheck.ParentClusterDef; null != clusDefParent; clusDefParent = clusDefParent.ParentClusterDef)
{
if (clusDefParent == clusCur)
{
hasSideOverlap = false;
break;
}
}
// Note: This test may fail if clusCheck is a parent of clusCur, but in that case
// clusCheck should be outside clusCur - which means we had another error before this,
// that cluster {clusCheck} is outside the bounds of parent cluster {clusCur}.
if (hasSideOverlap)
{
// Uh oh.
this.WriteLine("Error {0}: Overlap exists between sibling Clusters '{1}' and '{2}'", FailTag("OlapSibClus"),
clusCur.ClusterId, clusCheck.ClusterId);
this.WriteLine(" Cluster {0}: L/R T/B {1:F5}/{2:F5} {3:F5}/{4:F5}", clusCur.ClusterId,
clusCur.Left, clusCur.Right, clusCur.Top, clusCur.Bottom);
this.WriteLine(" Cluster {0}: L/R T/B {1:F5}/{2:F5} {3:F5}/{4:F5}", clusCheck.ClusterId,
clusCheck.Left, clusCheck.Right, clusCheck.Top, clusCheck.Bottom);
succeeded = false;
}
} // endif overlap within epsilon
} // endfor localClusDefs[jj]
}
}
public SimRuntime(ClusterDef def)
{
Def = def;
_scheduler = new SimScheduler(this, new ServiceId("simulation:proc"));
_factory = new TaskFactory(_scheduler);
}
// Note: cConstraintsPerVar is an artifact of ProjectionSolver testing and is ignored
// in OverlapRemoval since we generate only the necessary constraints for removing overlaps (it
// could be extended to generate additional overlaps but that has not yet been done).
public bool CreateFile(uint cVars, uint cConstraintsPerVar, string strOutFile)
{
Validate.IsTrue(cVars > 0, "Test file creation requires cVars > 0");
Validate.AreNotEqual((uint)0, cConstraintsPerVar, "Test file creation requires cConstraintsPerVar > 0");
// Generate a new set of Variable definitions.
var lstVarDefs = new List <VariableDef>();
Random rng = TestConstraints.NewRng();
// Print this so that in case of errors we can re-run with this seed.
Console.WriteLine("Creating test file with seed 0x{0}", TestConstraints.RandomSeed.ToString("X"));
//
// This code was adapted from satisfy_inc for ProjSolver, and then the second dimension
// and sizes were added for OverlapRemoval, as well as other extensions.
//
for (int idxVar = 0; idxVar < cVars; ++idxVar)
{
double dblPosX = TestConstraints.RoundRand(rng, TestConstraints.MaxNodePosition);
double dblPosY = TestConstraints.RoundRand(rng, TestConstraints.MaxNodePosition);
// Ensure nonzero sizes.
double dblSizeX = TestConstraints.RoundRand(rng, MaxSize) + 1.0;
double dblSizeY = TestConstraints.RoundRand(rng, MaxSize) + 1.0;
double dblWeightX = 1.0, dblWeightY = 1.0;
if (TestConstraints.MaxWeightToGenerate > 0.0)
{
// Ensure nonzero weights.
dblWeightX = TestConstraints.RoundRand(rng, TestConstraints.MaxWeightToGenerate) + 0.01;
dblWeightY = TestConstraints.RoundRand(rng, TestConstraints.MaxWeightToGenerate) + 0.01;
}
lstVarDefs.Add(new VariableDef((uint)idxVar
, dblPosX, dblPosY
, dblSizeX, dblSizeY
, dblWeightX, dblWeightY));
} // endfor idxVar
List <ClusterDef> lstClusDefs = null;
if (MaxClusters > 0)
{
// If we are generating a random number of clusters, get that number here.
int cClusters = MaxClusters;
if (WantRandomClusters)
{
cClusters = rng.Next(cClusters);
}
// Add the first cluster, at the root level - hence no parent and no borders.
// No BorderInfo needed for root clusters - it's ignored. RoundRand returns
// 0 if its arg is 0.
lstClusDefs = new List <ClusterDef>(cClusters)
{
new ClusterDef(
TestConstraints.RoundRand(rng, MinClusterSizeX),
TestConstraints.RoundRand(rng, MinClusterSizeY))
{
IsNewHierarchy = true
}
};
if (TestGlobals.VerboseLevel >= 3)
{
Console.WriteLine("Level-1 cluster: {0}", lstClusDefs[0].ClusterId);
}
// If we are doing a single hierarchy only, restrict the range to the current set of parents,
// otherwise ourselves about a 10% chance of being at the root level instead of being nested.
int cRootExtra = WantSingleClusterRoot ? 0 : Math.Max(cClusters / 10, 1);
// Create the clusters, randomly selecting a parent for each from the items previously
// put in the list.
for (int idxNewClus = 1; idxNewClus < cClusters; ++idxNewClus)
{
int idxParentClus = rng.Next(lstClusDefs.Count + cRootExtra); // Allow out-of-bounds index as "root level" flag
// Margin stuff stays 0 if MaxMargin is 0 (and border stuff is ignored if it's a root cluster).
var clusNew = new ClusterDef(TestConstraints.RoundRand(rng, MinClusterSizeX), TestConstraints.RoundRand(rng, MinClusterSizeY),
GetBorderInfo(lstClusDefs.Count, TestConstraints.RoundRand(rng, MaxMargin), WantFixedLeftBorder),
GetBorderInfo(lstClusDefs.Count, TestConstraints.RoundRand(rng, MaxMargin), WantFixedRightBorder),
GetBorderInfo(lstClusDefs.Count, TestConstraints.RoundRand(rng, MaxMargin), WantFixedTopBorder),
GetBorderInfo(lstClusDefs.Count, TestConstraints.RoundRand(rng, MaxMargin), WantFixedBottomBorder));
lstClusDefs.Add(clusNew);
// If we are doing a single hierarchy only, restrict the range to the current set of parents.
// Otherwise, if the parent index is >= the index we're adding now, that's our way of
// selecting the node to be at the root level.
if (WantSingleClusterRoot)
{
idxParentClus %= idxNewClus;
}
if (idxParentClus < idxNewClus)
{
ClusterDef clusParent = lstClusDefs[idxParentClus];
clusParent.AddClusterDef(clusNew);
if (TestGlobals.VerboseLevel >= 3)
{
Console.Write("Nested cluster: {0}", clusNew.ClusterId);
for (; null != clusParent; clusParent = clusParent.ParentClusterDef)
{
Console.Write(" {0}", clusParent.ClusterId);
}
Console.WriteLine();
}
}
else
{
// Create a simple cluster since root clusters don't honor borders.
clusNew.IsNewHierarchy = true;
if (TestGlobals.VerboseLevel >= 3)
{
Console.WriteLine("Level-1 cluster: {0}", clusNew.ClusterId);
}
}
}
// Now run through the nodes and randomly assign them into the clusters.
foreach (VariableDef varDef in lstVarDefs)
{
int idxParentClus = rng.Next(lstClusDefs.Count + cRootExtra);
if (idxParentClus < lstClusDefs.Count)
{ // Don't write the ones at the root level.
lstClusDefs[idxParentClus].AddVariableDef(varDef);
}
else if (TestGlobals.VerboseLevel >= 3)
{
Console.WriteLine("Root var: {0}", varDef.IdString);
}
}
} // endif MaxClusters > 0
return(WriteTestFile(lstVarDefs, lstClusDefs, strOutFile));
}
private ESection ProcessCluster(int lineNumber, string currentLine, ESection currentSection, ref EClusterState currentClusterState)
{
if (currentLine.StartsWith(
TestFileStrings.EndCluster, StringComparison.OrdinalIgnoreCase))
{
if (EClusterState.Variable != currentClusterState)
{
Validate.Fail(string.Format("Unexpected END CLUSTER line {0}: {1}", lineNumber, currentLine));
}
currentSection = ESection.PreClusterOrConstraints;
this.ClusterDefs.Add(this.currentClusterDef);
this.currentClusterDef = null;
return currentSection;
}
if (EClusterState.Id == currentClusterState)
{
Match m = TestFileStrings.ParseClusterId.Match(currentLine);
if (m.Success)
{
// Verify the Clusters in the file are sorted on ID. This makes it easier for the results
// reading to be in sync, as we'll index ClusterDefs by [Parent - 1].
var id = int.Parse(m.Groups["id"].ToString());
Validate.IsTrue(this.currentClusterDef.ClusterId == id, "Out of order CLUSTER id");
}
else
{
Validate.Fail(string.Format("Unparsable CLUSTER ID line {0}: {1}", lineNumber, currentLine));
}
currentClusterState = EClusterState.Parent;
}
else if (EClusterState.Parent == currentClusterState)
{
Match m = TestFileStrings.ParseClusterParent.Match(currentLine);
if (m.Success)
{
int parentId = int.Parse(m.Groups["parent"].ToString());
// Cluster IDs are 1-based because we use 0 for the "root cluster".
if (0 != parentId)
{
ClusterDef clusParent = this.ClusterDefs[parentId - 1];
Validate.AreEqual(clusParent.ClusterId, parentId, "clusParent.ClusterId mismatch with idParent");
clusParent.AddClusterDef(this.currentClusterDef);
}
}
else
{
Validate.Fail(string.Format("Unparsable CLUSTER Parent line {0}: {1}", lineNumber, currentLine));
}
currentClusterState = EClusterState.LeftBorder;
}
else if (EClusterState.LeftBorder == currentClusterState)
{
// Older files didn't have MinSize.
Match m = TestFileStrings.ParseClusterMinSize.Match(currentLine);
if (m.Success)
{
this.currentClusterDef.MinimumSizeX = double.Parse(m.Groups["X"].ToString());
this.currentClusterDef.MinimumSizeY = double.Parse(m.Groups["Y"].ToString());
return currentSection;
}
if (0 == string.Compare("NewHierarchy", currentLine, StringComparison.OrdinalIgnoreCase))
{
// NewHierarchy is optional.
this.currentClusterDef.IsNewHierarchy = true;
return currentSection;
}
this.currentClusterDef.LeftBorderInfo = ParseBorderInfo("Left", currentLine, lineNumber);
currentClusterState = EClusterState.RightBorder;
}
else if (EClusterState.RightBorder == currentClusterState)
{
this.currentClusterDef.RightBorderInfo = ParseBorderInfo("Right", currentLine, lineNumber);
currentClusterState = EClusterState.TopBorder;
}
else if (EClusterState.TopBorder == currentClusterState)
{
this.currentClusterDef.TopBorderInfo = ParseBorderInfo("Top", currentLine, lineNumber);
currentClusterState = EClusterState.BottomBorder;
}
else if (EClusterState.BottomBorder == currentClusterState)
{
this.currentClusterDef.BottomBorderInfo = ParseBorderInfo("Bottom", currentLine, lineNumber);
currentClusterState = EClusterState.Variable;
}
else if (EClusterState.Variable == currentClusterState)
{
Match m = TestFileStrings.ParseClusterVariable.Match(currentLine);
if (m.Success)
{
int variableId = int.Parse(m.Groups["var"].ToString());
this.currentClusterDef.AddVariableDef(this.VariableDefs[variableId]);
}
else
{
Validate.Fail(string.Format("Unparsable CLUSTER Variable line {0}: {1}", lineNumber, currentLine));
}
}
return currentSection;
}
private ESection ProcessClusterOrConstraints(string currentLine, ESection currentSection, ref EClusterState currentClusterState)
{
if (currentLine.StartsWith(
TestFileStrings.BeginCluster, StringComparison.OrdinalIgnoreCase))
{
currentSection = ESection.Cluster;
currentClusterState = EClusterState.Id;
this.currentClusterDef = new ClusterDef(this.MinClusterSizeX, this.MinClusterSizeY);
return currentSection;
}
if (currentLine.StartsWith(
TestFileStrings.BeginConstraintsX, StringComparison.OrdinalIgnoreCase))
{
currentSection = ESection.Constraints;
this.currentConstraintDefs = this.ConstraintDefsX;
return currentSection;
}
if (currentLine.StartsWith(
TestFileStrings.BeginConstraintsY, StringComparison.OrdinalIgnoreCase))
{
currentSection = ESection.Constraints;
this.currentConstraintDefs = this.ConstraintsDefY;
return currentSection;
}
if (currentLine.StartsWith(
TestFileStrings.BeginConstraints, StringComparison.OrdinalIgnoreCase))
{
currentSection = ESection.Constraints;
this.currentConstraintDefs = this.ConstraintDefsX;
return currentSection;
}
return currentSection;
}
private static void Setup__Test_Cluster_Pad0_Sibling9_Nest1_MinSize(int width, int height, out VariableDef[] variableDefs, out ClusterDef[] clusterDefs)
{
variableDefs = new[]
{
//ordinal posXY sizeXY There is only one cluster, with 'b' vars; 'a' is root
/* 0 */ new VariableDef(1.0, 1.0, 3.0, 3.0),
/* 1 */ new VariableDef(2.0, 1.0, 3.0, 3.0),
/* 2 */ new VariableDef(3.0, 1.0, 3.0, 3.0),
/* 3 */ new VariableDef(1.0, 2.0, 3.0, 3.0),
/* 4 */ new VariableDef(2.0, 2.0, 3.0, 3.0),
/* 5 */ new VariableDef(3.0, 2.0, 3.0, 3.0),
/* 6 */ new VariableDef(1.0, 3.0, 3.0, 3.0),
/* 7 */ new VariableDef(2.0, 3.0, 3.0, 3.0),
/* 8 */ new VariableDef(3.0, 3.0, 3.0, 3.0),
};
clusterDefs = new ClusterDef[10];
clusterDefs[0] = new ClusterDef(); // Parent cluster
for (int ii = 1; ii <= 9; ++ii)
{
// 1-based to skip the parent cluster.
clusterDefs[ii] = new ClusterDef(width, height);
clusterDefs[ii].AddVariableDef(variableDefs[ii - 1]); // 0-based
clusterDefs[0].AddClusterDef(clusterDefs[ii]);
}
}
// Note: cConstraintsPerVar is an artifact of ProjectionSolver testing and is ignored
// in OverlapRemoval since we generate only the necessary constraints for removing overlaps (it
// could be extended to generate additional overlaps but that has not yet been done).
public bool CreateFile(uint cVars, uint cConstraintsPerVar, string strOutFile)
{
Validate.IsTrue(cVars > 0, "Test file creation requires cVars > 0");
Validate.AreNotEqual((uint)0, cConstraintsPerVar, "Test file creation requires cConstraintsPerVar > 0");
// Generate a new set of Variable definitions.
var lstVarDefs = new List<VariableDef>();
Random rng = TestConstraints.NewRng();
// Print this so that in case of errors we can re-run with this seed.
Console.WriteLine("Creating test file with seed 0x{0}", TestConstraints.RandomSeed.ToString("X"));
//
// This code was adapted from satisfy_inc for ProjSolver, and then the second dimension
// and sizes were added for OverlapRemoval, as well as other extensions.
//
for (int idxVar = 0; idxVar < cVars; ++idxVar)
{
double dblPosX = TestConstraints.RoundRand(rng, TestConstraints.MaxNodePosition);
double dblPosY = TestConstraints.RoundRand(rng, TestConstraints.MaxNodePosition);
// Ensure nonzero sizes.
double dblSizeX = TestConstraints.RoundRand(rng, MaxSize) + 1.0;
double dblSizeY = TestConstraints.RoundRand(rng, MaxSize) + 1.0;
double dblWeightX = 1.0, dblWeightY = 1.0;
if (TestConstraints.MaxWeightToGenerate > 0.0)
{
// Ensure nonzero weights.
dblWeightX = TestConstraints.RoundRand(rng, TestConstraints.MaxWeightToGenerate) + 0.01;
dblWeightY = TestConstraints.RoundRand(rng, TestConstraints.MaxWeightToGenerate) + 0.01;
}
lstVarDefs.Add(new VariableDef((uint)idxVar
, dblPosX, dblPosY
, dblSizeX, dblSizeY
, dblWeightX, dblWeightY));
} // endfor idxVar
List<ClusterDef> lstClusDefs = null;
if (MaxClusters > 0)
{
// If we are generating a random number of clusters, get that number here.
int cClusters = MaxClusters;
if (WantRandomClusters)
{
cClusters = rng.Next(cClusters);
}
// Add the first cluster, at the root level - hence no parent and no borders.
// No BorderInfo needed for root clusters - it's ignored. RoundRand returns
// 0 if its arg is 0.
lstClusDefs = new List<ClusterDef>(cClusters)
{
new ClusterDef(
TestConstraints.RoundRand(rng, MinClusterSizeX),
TestConstraints.RoundRand(rng, MinClusterSizeY))
{
IsNewHierarchy = true
}
};
if (TestGlobals.VerboseLevel >= 3)
{
Console.WriteLine("Level-1 cluster: {0}", lstClusDefs[0].ClusterId);
}
// If we are doing a single hierarchy only, restrict the range to the current set of parents,
// otherwise ourselves about a 10% chance of being at the root level instead of being nested.
int cRootExtra = WantSingleClusterRoot ? 0 : Math.Max(cClusters / 10, 1);
// Create the clusters, randomly selecting a parent for each from the items previously
// put in the list.
for (int idxNewClus = 1; idxNewClus < cClusters; ++idxNewClus)
{
int idxParentClus = rng.Next(lstClusDefs.Count + cRootExtra); // Allow out-of-bounds index as "root level" flag
// Margin stuff stays 0 if MaxMargin is 0 (and border stuff is ignored if it's a root cluster).
var clusNew = new ClusterDef(TestConstraints.RoundRand(rng, MinClusterSizeX), TestConstraints.RoundRand(rng, MinClusterSizeY),
GetBorderInfo(lstClusDefs.Count, TestConstraints.RoundRand(rng, MaxMargin), WantFixedLeftBorder),
GetBorderInfo(lstClusDefs.Count, TestConstraints.RoundRand(rng, MaxMargin), WantFixedRightBorder),
GetBorderInfo(lstClusDefs.Count, TestConstraints.RoundRand(rng, MaxMargin), WantFixedTopBorder),
GetBorderInfo(lstClusDefs.Count, TestConstraints.RoundRand(rng, MaxMargin), WantFixedBottomBorder));
lstClusDefs.Add(clusNew);
// If we are doing a single hierarchy only, restrict the range to the current set of parents.
// Otherwise, if the parent index is >= the index we're adding now, that's our way of
// selecting the node to be at the root level.
if (WantSingleClusterRoot)
{
idxParentClus %= idxNewClus;
}
if (idxParentClus < idxNewClus)
{
ClusterDef clusParent = lstClusDefs[idxParentClus];
clusParent.AddClusterDef(clusNew);
if (TestGlobals.VerboseLevel >= 3)
{
Console.Write("Nested cluster: {0}", clusNew.ClusterId);
for (; null != clusParent; clusParent = clusParent.ParentClusterDef)
{
Console.Write(" {0}", clusParent.ClusterId);
}
Console.WriteLine();
}
}
else
{
// Create a simple cluster since root clusters don't honor borders.
clusNew.IsNewHierarchy = true;
if (TestGlobals.VerboseLevel >= 3)
{
Console.WriteLine("Level-1 cluster: {0}", clusNew.ClusterId);
}
}
}
// Now run through the nodes and randomly assign them into the clusters.
foreach (VariableDef varDef in lstVarDefs)
{
int idxParentClus = rng.Next(lstClusDefs.Count + cRootExtra);
if (idxParentClus < lstClusDefs.Count)
{ // Don't write the ones at the root level.
lstClusDefs[idxParentClus].AddVariableDef(varDef);
}
else if (TestGlobals.VerboseLevel >= 3)
{
Console.WriteLine("Root var: {0}", varDef.IdString);
}
}
} // endif MaxClusters > 0
return WriteTestFile(lstVarDefs, lstClusDefs, strOutFile);
}